TY  - JOUR
T1  - Visual Cryptography and CSK for Biometric Template Security
AU - T. Hashim, Ashwaq AU - Saleh, Zina A. 
JO  - Journal of Engineering and Applied Sciences
VL  - 13
IS  - 18
SP  - 7642
EP  - 7647
PY  - 2018
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2018.7642.7647
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2018.7642.7647
KW  - Verification
KW  -biometric
KW  -template security
KW  -CSK
KW  -secret sharing
KW  -visual cryptography
KW  -chaotic system
AB  - Biometrics recognition systems are widely used in many areas of application, so, security and privacy
vulnerabilities have attracted the attention of the biometric community recently. The stored reference data are
prevented from detecting special biometric information and the security of biometrics systems are enhanced
against attacks such as identity theft and cross matching by using template protection techniques. This study
focuses on a template protection algorithm that combines between the methods from Chaotic Shift Keying
(CSK) and Visual Cryptography (VC). The key component of the algorithm is to use CSK modulation for coding
biometric templates into chaotic signal. Then, using (2, 2) VC to generate two shares, these two shares are
stored in two separate servers of the database, so that, the coded template can be detected only when both
shares are available at the same time also, the identity of the private template does not detect through single
share. It is noted that the generated shares should be robust, uniformly distributed, collision-free and
statistically independent for improving authentication performance and avoiding information seepage. Biometric
template protection techniques are capable of solving the problem of the vulnerability that undermines the
biometric template.
ER  -